Abstract Library
Welcome to the open-access search for all ENETS abstracts presented at the Annual ENETS Conferences.
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ENETS Abstract Search
Introduction: The continuous progress of comprehensive treatment enables neuroendocrine tumour liver metastasis (NENLM) that meets Milan criteria to achieve longer survival without liver transplantation (LT). LT often faces high tumour burden, while comprehensive treatment also brings new opportunities for recurrence.
Conference:
Presenting Author: Chen C
Authors: Chen C, Jiang W, Chen J, Liang Y, Xie Y,
Keywords: liver transplantation, neuroendocrine tumour liver metastasis, Milan Criteria, comprehensive treatment,
Introduction: Neuroendocrine tumours of the pancreatic head (NETPH) can be associated with local complications. At the metastatic stage, surgery of the primary tumour (PT) is not a standard of care. But the biliary complications (BC) due to the untreated NETPH may complicate the management and deteriorate the prognosis.
Conference:
Presenting Author: Ujlaki G
Authors: Ujlaki G, Fernandez de Sevilla E, Moog S, Lamartina L, Hadoux J,
Keywords: neuroendocrine, pancreatic head, metastatic, biliary complications,
Introduction: The NETTER-2 trial showed improved progression-free survival (PFS) with 1L 177Lu-DOTATATE vs. high dose octreotide in advanced G2/G3 pNETs. No published evidence exists comparing 177Lu-DOTATATE with other recommended 1L treatments, such as STZ-BC, hence indirect comparisons need to be conducted.
Conference:
Presenting Author: Navalkissoor S
Authors: Navalkissoor S, Capdevila J, Deshayes E, Gerard L, Srirajaskanthan R,
Keywords: pancreatic neuroendocrine tumour, [177lu]lu-dotatate, streptozocin, 5-fluorouracil, matching adjusted indirect comparison,
Introduction: The incidence of rectal neuroendocrine tumours (R-NETs) has increased significantly in recent years.
Conference:
Presenting Author: Lian J
Authors: Lian J, Xing W, Lu H,
Keywords: Rectal Neuroendocrine Tumour, clinical data, real-world, CgA, progression-free survival,
Introduction: TNM 8 is the staging system for GEP-NEN, guiding prognosis and treatment. However, it does not include important prognostic factors such as age, sex, race, and morphology.
Conference:
Presenting Author: Mortagy M
Authors: Mortagy M, El Asmar M, White B, Chandrakumaran K, Ramage J,
Keywords: Clustering, Machine learning, GEP-NEN, TNM Staging, Survival Analysis, SEER,